Impute missing location data

Usage

impute_missing(.data, tus_dat, col_nm, missing_ids, strata = NULL)

Arguments

.data: A data frame or data frame extension (e.g. a tibble).
tus_dat: A data frame of the time use survey data. This is expected to be in the format saved by run_data_prep_tus().
col_nm: A character string: name of new column to create which will hold the most popular location for each activity (possibly by strata).
missing_ids: An integer vector of the numeric id's which indicate missing locations.
strata: An optional character vector containing names of stratification variables. If supplied, these are added to the activity and location variables to be used for grouping. Default: none.

Value

The supplied tus_dat data frame with imputed data for missing locations. Imputed values are computed as the most popular location for activity by (optional) strata.

Examples

if (FALSE) { # \dontrun{
tus_dat <- get_tus_dat()
strata <- c("sex", "agegr4", "nssec5", "daytype")
impute_missing(tus_dat, tus_dat, "most_popular_locn", missing_ids, strata)
} # }